mgcv package - RDocumentation

gam.check

Some diagnostics for a fitted gam model

null.space.dimension

The basis of the space of un-penalized functions for a TPRS

mono.con

Monotonicity constraints for a cubic regression spline

formula.gam

Extract the formula from a gam object

interpret.gam

Interpret a GAM formula

anova.gam

Hypothesis tests related to GAM fits

mroot

Smallest square root of matrix

magic

Stable Multiple Smoothing Parameter Estimation by GCV or UBRE, with optional fixed penalty

gamObject

Fitted gam object

pdTens

Functions implementing a pdMat class for tensor product smooths

full.score

GCV/UBRE score for use within nlm

formXtViX

Form component of GAMM covariance matrix

residuals.gam

Generalized Additive Model residuals

logLik.gam

Extract the log likelihood for a fitted GAM

gam.models

Specifying generalized additive models

gamm.setup

Generalized additive mixed model set up

plot.gam

Default GAM plotting

model.matrix.gam

Extract model matrix from GAM fit

get.var

Get named variable or evaluate expression from list or data.frame

summary.gam

Summary for a GAM fit

magic.post.proc

Auxilliary information from magic fit

Predict.matrix

Prediction methods for smooth terms in a GAM

gam.fit2

P-IRLS GAM estimation with GCV & UBRE derivative calculation

influence.gam

Extract the diagonal of the influence/hat matrix for a GAM

print.gam

Generalized Additive Model default print statement

gam.setup

Generalized additive model set up

place.knots

Automatically place a set of knots evenly through covariate values

gam.selection

Generalized Additive Model Selection

mgcv.control

Setting mgcv defaults

vcov.gam

Extract parameter (estimator) covariance matrix from GAM fit

choose.k

Basis dimension choice for smooths

fixDependence

Detect linear dependencies of one matrix on another

pcls

Penalized Constrained Least Squares Fitting

gam.fit

GAM P-IRLS estimation with GCV/UBRE smoothness estimation

gam

Generalized additive models with integrated smoothness estimation

gamm

Generalized Additive Mixed Models

gam2objective

Objective functions for GAM smoothing parameter estimation

gam.outer

Minimize GCV or UBRE score of a GAM using `outer' iteration

mgcv

Multiple Smoothing Parameter Estimation by GCV or UBRE

exclude.too.far

Exclude prediction grid points too far from data

smoothCon

Prediction/Construction wrapper functions for GAM smooth terms

step.gam

Alternatives to step.gam

predict.gam

Prediction from fitted GAM model

tensor.prod.model.matrix

Utility functions for constructing tensor product smooths

gam.convergence

GAM convergence and performance issues

uniquecombs

find the unique rows in a matrix

fix.family.link

Modify families for use in GAM fitting

notExp2

Alternative to log parameterization for variance components

smooth.construct

Constructor functions for smooth terms in a GAM

pdIdnot

Overflow proof pdMat class for multiples of the identity matrix

gam.control

Setting GAM fitting defaults

gam.side

Identifiability side conditions for a GAM

notExp

Functions for better-than-log positive parameterization

vis.gam

Visualization of GAM objects

gam.method

Setting GAM fitting method

extract.lme.cov

Extract the data covariance matrix from an lme object

mgcv-package

GAMs with GCV smoothness estimation and GAMMs by REML/PQL

gam.neg.bin

GAMs with the negative binomial distribution

te

Define tensor product smooths in GAM formulae

s

Defining smooths in GAM formulae

new.name

Obtain a name for a new variable that is not already in use

initial.sp

Starting values for multiple smoothing parameter estimation

mgcv (version 1.3-31)

GAMs with GCV smoothness estimation and GAMMs by REML/PQL

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Functions in mgcv (1.3-31)